Land classification in satellite images by injecting traditional features to CNN models
Sign Up to like & getrecommendations! Published in 2022 at "Remote Sensing Letters"
DOI: 10.1080/2150704x.2023.2167057
Abstract: ABSTRACT Deep learning methods have been successfully applied to remote-sensing problems for several years. Among these methods, CNN-based models have high accuracy in solving the land classification problem using satellite or aerial images. Although these… read more here.
Keywords: accuracy; injecting traditional; cnn models; land classification ... See more keywords
A Novel Multispectral, Panchromatic and SAR Data Fusion for Land Classification
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2019.2945188
Abstract: Multisensor data fusion is addressed in this article for land classification purposes in a semiarid environment. A novel algorithm based on multispectral, panchromatic and synthetic aperture radar (SAR) data is here presented. The proposed multisensory… read more here.
Keywords: sar; data fusion; fusion; multispectral panchromatic ... See more keywords